Building an AI-Powered A2P SMS Fraud Detection Platform Using XGBoost: A Machine Learning Approach
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Building an AI-Powered A2P SMS Fraud Detection Platform Using XGBoost: A Machine Learning Approach
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This story was originally published on HackerNoon at: https://hackernoon.com/building-an-ai-powered-a2p-sms-fraud-detection-platform-using-xgboost-a-machine-learning-approach.
How explainable AI, behavioral analytics, and operational dashboards can help telecom operators detect messaging fraud & avert it in real time.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #random-forest, #xgboost-model, #machine-learning, #a2p, #fraud-detection, #ai-powered-fraud-detection, #telecom-fraud, #ai-intelligence, and more.
This story was written by: @adnanmalik83. Learn more about this writer by checking @adnanmalik83's about page, and for more stories, please visit hackernoon.com.
This article presents my design and implementation of an AI-powered A2P SMS Fraud Detection Platform using XGBoost, combining machine learning, explainable AI, and operational analytics.